Triple

T7792391
Position Surface form Disambiguated ID Type / Status
Subject Southwark Cathedral E180210 entity
Predicate near P350 FINISHED
Object Borough Market E113172 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Borough Market | Statement: [Southwark Cathedral, near, Borough Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borough Market
Context triple: [Southwark Cathedral, near, Borough Market]
  • A. Borough Market chosen
    Borough Market is one of London’s oldest and most famous food markets, renowned for its diverse range of high-quality produce, street food, and artisanal goods.
  • B. Covent Garden Market
    Covent Garden Market is a historic London marketplace and tourist destination known for its shops, restaurants, street performers, and vibrant cultural atmosphere.
  • C. Chrisp Street Market
    Chrisp Street Market is a historic open-air market and shopping area in Poplar, East London, known for its mix of traditional stalls, local shops, and community events.
  • D. Greenwich Market
    Greenwich Market is a historic covered market in London known for its arts, crafts, antiques, and diverse street food stalls.
  • E. Leadenhall Market
    Leadenhall Market is a historic covered market in the City of London, renowned for its ornate Victorian architecture, boutique shops, and food stalls.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae938714c8190b89917e6ded004da completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb13cdb4288190ae3cfe1ee4e3e496 completed March 31, 2026, 12:22 a.m.
Created at: March 30, 2026, 4:30 p.m.